Center of Cognitive and Computational Neuroscience (C3N)'s Projects
pruebas para paper computacional 2022
Dataset used in the paper "A neuro-inspired system for online learning and recognition of parallel spike trains, based on spike latency and heterosynaptic STDP"
Code used for the simulation and stimulation of the spiking neural networks in the paper Cabrera-Álvarez et al. (2023) Understanding the effects of cortical gyrification in tACS: Insights from experiments and computational models
Nest-Simulator Extension Module containing a LeakyIFwithLatency neuron model expressing Intrinsic Excitability (IE) plasticity. This Nest Simulator library offers the opportunity to create polychrony architectures able to perform Multi Neural Spyke-sequence Detections (MNSD)
Dataset used in the paper "Dynamic low frequency EEG phase synchronization patterns during proactive control of task switching".
Implementation of the Potjan-Diesmann full-column, for connectome-based resting-state simulations